A5014839417- Advanced Surface Polishing Techniques
- Advanced machining processes and optimization
- Advanced Machining and Optimization Techniques
- Advanced Measurement and Metrology Techniques
- Robotic Mechanisms and Dynamics
- Mineral Processing and Grinding
- Manufacturing Process and Optimization
- Robot Manipulation and Learning
- Image and Object Detection Techniques
- Optical measurement and interference techniques
- Metallurgy and Material Forming
- Iterative Learning Control Systems
- Laser and Thermal Forming Techniques
- Industrial Vision Systems and Defect Detection
- Hydraulic and Pneumatic Systems
- Tunneling and Rock Mechanics
- Metal Forming Simulation Techniques
- Mechanical Systems and Engineering
- Model-Driven Software Engineering Techniques
- Surface Roughness and Optical Measurements
- Soft Robotics and Applications
- Real-time simulation and control systems
- Artificial Intelligence in Law
- Gyrotron and Vacuum Electronics Research
- Granular flow and fluidized beds
Huazhong University of Science and Technology
2018-2025
Chongqing University
2015-2024
Wuxi Institute of Technology
2020-2024
Software (Spain)
2024
Nanjing Forestry University
2024
National University of Singapore
2022-2023
China Three Gorges University
2022
Wuhan University of Technology
2017-2020
Ludwig-Maximilians-Universität München
2010
Łukasiewicz Research Network - Metal Forming Institute
2010
This work develops a dynamic compliant force control (DCFC) strategy for the robotic belt grinding system to suppress vibrations and over-grinding phenomenon. First, vibration mechanism is investigated, corresponding models before after contact are constructed, both of which can decompose into three components: free, accompanying forced vibrations. Next, extra hardware equipped grinder realize adjustment equivalent damping. The DCFC considering mechanical compliance accompanied by...
Suitable posture configurations are urgently requested to ensure capabilities, such as maneuverability of robotic machining, especially for complex operation tasks with mobile robots. Traditional configuration optimization methods mainly studied unilateral performance constraint, which not applicable large components (LCCs). This work proposes a novel global method grinding LCCs that solves the optimal redundant parameters while enhancing performance, collision avoidance, and reachability....
Abstract Aiming at the requirements of low power consumption, miniaturization, and massive data processing, a modular distributed optical fibre acoustic sensing (DAS) demodulation system based on ultra-weak Bragg grating (UW-FBG) is proposed. A highly integrated circuit embedded used for time-domain positioning acquisition gratings. Field programmable gate array (FPGA) demodulates phase changes each section in real time. The outputs are uploaded through Gigabit Ethernet connection. Through...
Taking the fluidized pre-reduction process of iron ore powder bubbling bed as background, for problem non-uniform structure in gas-solid fluidization process, characteristics bicomponent particles are investigated a cold two-dimensional by using combination physical experiments and mathematical simulations. Fluidization were carried out under typical working conditions glass beads to study effects apparent gas velocity, mass ratio, other factors on bed. Through experimental observation...
Credit card fraud detection is a critical challenge in the financial sector due to rapidly evolving tactics of fraudsters and significant class imbalance betweenegitimate fraudulent transactions. Traditional models, while effective some extent, often suffer from high false positive rates fail generalize well emerging patterns. In this paper, we propose novel approach that integrates Mixture Experts (MoE) model with Deep Neural Network-based Synthetic Minority Over-sampling Technique...